

Cognitive Computing Specialist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Cognitive Computing Specialist on a contract basis, remote location. Key skills include expertise in TensorFlow, PyTorch, Python, R, NLP, and cognitive architectures. Experience in machine learning and AI integration is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 26, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Science #ML (Machine Learning) #R #NLP (Natural Language Processing) #Reinforcement Learning #TensorFlow #Knowledge Graph #Java #Python #PyTorch #Programming #Scala #AI (Artificial Intelligence) #Deep Learning
Role description
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Company β Covenant AI is a revolutionary platform that delivers world-class AI talent through proprietary vetting technology. We connect organizations with elite, battle-tested AI professionals ready to deploy in days, not months.
While this position is not tied to a single immediate opening, we are actively filling roles for upcoming needs. As a trusted partner to many Fortune 500 companies, we are already seeing a strong surge in demand for AI and emerging technology talentβand new roles are coming in fast. By expressing interest now, youβll be first in line as opportunities open, giving you a head start in the process.
Job Title - Cognitive Computing Specialist
Location - Remote
Role Type - Contract
Must Have Skills:
β’ Expertise in machine learning frameworks such as TensorFlow and PyTorch
β’ Strong programming skills in Python, R, or Java
β’ Experience with Natural Language Processing (NLP), knowledge representation, and reasoning systems
β’ Familiarity with cognitive architectures, conversational AI, and decision-support systems
β’ Experience integrating structured and unstructured data into AI models
Responsibilities and Job Details:
β’ Architect and implement cognitive computing solutions leveraging AI, NLP, and machine reasoning technologies.
β’ Develop systems capable of learning, understanding, and interacting with human-like intelligence across multiple domains.
β’ Collaborate with data scientists and engineers to design and deploy adaptive AI models at scale.
β’ Design, train, and optimize advanced machine learning and deep learning models for real-world business applications.
β’ Conduct research on emerging AI trends including generative AI, reinforcement learning, and knowledge graphs.
β’ Ensure cognitive systems adhere to ethical AI standards, focusing on explainability and fairness.
β’ Partner with product teams to integrate cognitive AI solutions into enterprise platforms and customer-facing applications.
β’ Build scalable AI pipelines and integrate cognitive systems into enterprise applications.